Janis S. Neufeld

Otto-von-Guericke University Magdeburg

Papers

1

Total Citations

10

H-Index

1

About

Janis S. Neufeld is a leading researcher in agricultural robotics and optimization, with a focus on intelligent task allocation for multi-robot systems. Her work bridges operations research and precision agriculture, developing novel metaheuristic algorithms to solve complex scheduling problems in farming environments. Her most-cited paper, "Optimization of task assignment for multi-farm multi-weeding robots based on discrete artificial bee colony algorithm" (2024, 10 citations), introduces a pioneering approach to coordinating fleets of autonomous weeding robots across multiple farms, significantly improving efficiency and reducing operational costs. This contribution addresses a critical bottleneck in sustainable agriculture—how to deploy limited robotic resources effectively over large, heterogeneous fields. Neufeld’s research is distinguished by its practical applicability, combining rigorous mathematical modeling with real-world constraints like energy consumption and terrain variability. Her work has been recognized for advancing the field of swarm robotics in agriculture, and she continues to shape the next generation of autonomous farming systems. With growing citation impact, Neufeld is establishing herself as a key voice in the intersection of artificial intelligence, optimization, and agricultural engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Optimization of task assignment for multi-farm multi-weeding robots based on discrete artificial bee colony algorithm
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Otto-von-Guericke University Magdeburg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago